Forecasting

The grid is impacted by a range of variables, weather alone can impact demand and supply of power by as much as 40%. Grid operators’ need for forecast accuracy, has increased significantly with the addition of renewable sources which are infirm in nature. The addition of decentralized generation and storage will further enhance the need for robust forecasting models. We offer a range of forecasting models to help grid operators and generators forecast with accuracy and retain grid stability & profitability.

Trading

Integrate

Use weather data from leading international agencies along with site data to build an accurate forecasting model.

Machine Learning

Leverage a variety of machine learning models for improved short and medium term energy forecasts (demand, supply & price).

Maintenance Scheduling

Utilize forecast models to schedule maintenance activities in period of low wind to minimize production loss.

Why choose us?

Algo Engines offers a cloud platform and robust machine learning models to forecast generation and consumption. We offer a mix of statistical and weather based models to cover short and medium term forecasts needed in various markets. With a wide range of interfaces and access to weather data from leading sources, we help generators, grid operators and traders leverage the power of accurate prediction.

Weather data integration

To manage accurate forecasts over a range of horizons, from one hour ahead to one month ahead, integration with a range of weather agencies is needed. We have robust integration with data from leading weather agencies. The accuracy of short term forecasts has been enhanced by statistical models which leverage real time data from plants.

Forecast models

A range of modelling approaches have be developed which help forecast generation for wind, solar, battery and storage based projects. Models are tuned based on past site data and based on fields available in site real time data.

Schedule

Generation schedules are impacted by a range of activities from site maintenance to breakdowns. Consumption patterns show significant intra day deviations from forecast due to unforeseen events including cloud covers. Our models can trigger schedule revisions based on external and time based events.

Notify

The process of intimation to grid operators and other parties is an essential part of forecasting. The system provides a range of interfaces to help communicate and obtain acknowledgement of the schedule.